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Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Linearity
In this video, we will cover machine learning model linearity. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
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Comparing Functions: Equations and Verbal Descriptions
By understanding the function properties and identifying the constant rate of change, students can effectively compare and interpret different representations of functions. We use examples such as selling T-shirts, recycling soda cans,...
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REST APIs with Flask and Python - Lambda Functions in Python
This video explores the Lambda functions in Python. This clip is from the chapter "A Full Python Refresher" of the series "REST APIs with Flask and Python".This section covers the various concepts that will help refresh your Python...
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Web Security: Common Vulnerabilities And Their Mitigation - XSRF mitigation - The synchronizer token
Cross Site Request Forgery: XSRF mitigation - The synchronizer token This clip is from the chapter "Cross Site Request Forgery" of the series "Web Security: Common Vulnerabilities And Their Mitigation".We will focus on attention another...
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Rust Programming Master Class from Beginner to Expert - Function Types
In this video, we will cover function types. This clip is from the chapter "Iterators, Lifetimes, and Closures" of the series "Rust Programming Master Class from Beginner to Expert".In this section, we will be exploring iterators,...
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Rust Programming Master Class from Beginner to Expert - Closures (Part 2)
In this video, you will learn more about closures. This clip is from the chapter "Iterators, Lifetimes, and Closures" of the series "Rust Programming Master Class from Beginner to Expert".In this section, we will be exploring iterators,...
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Deep Learning CNN Convolutional Neural Networks with Python - Why Derivatives
This video explains the need of derivatives. This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on gradient descent in CNNs.
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Deep Learning CNN Convolutional Neural Networks with Python - Why Convolution
This video explains why we need convolution. This clip is from the chapter "Deep Neural Network Architecture" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the deep neural network...
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Deep Learning CNN Convolutional Neural Networks with Python - DNN Architecture Solution
This is a solution video on DNN architecture. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep...
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Python for Deep Learning - Build Neural Networks in Python - Hyperbolic Tangent Function
In this video, you will learn about the Hyperbolic tangent function. This clip is from the chapter "Activation Functions" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will cover...
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Python for Deep Learning - Build Neural Networks in Python - Hopfield Neural Network
In this video, you will learn about Hopfield neural network. This clip is from the chapter "Neural Network Architectures" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will cover Neural...
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Reinforcement Learning and Deep RL Python Theory and Projects - DNN Architecture Exercise Solution
This is an exercise solution video on DNN architecture. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN foundation...
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Reinforcement Learning and Deep RL Python Theory and Projects - DNN Architecture
This video explains about the DNN architecture. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN foundation for...
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Python In Practice - 15 Projects to Master Python - Getting Input from the User Using Entry Field Widgets
This video explains how to get input from the user using entry field widgets. This clip is from the chapter "Advanced Level: Python GUI" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the...
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Deep Learning - Deep Neural Network for Beginners Using Python - Feed Forward for DEEP Net
In this video, you will learn about Feed Forward for DEEP Net. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
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Deep Learning - Deep Neural Network for Beginners Using Python - Basics of Backpropagation
In this video, you will learn about basics of backpropagation. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
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Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Architecture Exercise Solution
In this video, we will cover DNN architecture exercise solution. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
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Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Architecture
In this video, we will cover DNN architecture. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...
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Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Deep Neural Network Architecture
In this video, we will cover deep neural network architecture. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
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Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Network Architecture: Why Convolution
In this video, we will understand why convolution. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section,...
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Data Science and Machine Learning (Theory and Projects) A to Z - Applications of RNN (Motivation): Activity
In this video, we will cover activity. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will cover...
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Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: ManyToOne Model
In this video, we will cover ManyToOne model. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...
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Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: ManyToMany Model Solution 01
In this video, we will cover ManyToMany model solution 01. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
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Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: ManyToMany Model
In this video, we will cover ManyToMany model. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...